A deterministic compartmental model for the transition between variants in the spread of Covid-19 in Italy

Author:

Saviano Mario,Fierro AnnalisaORCID,Liccardo AntonellaORCID

Abstract

We propose a deterministic epidemic model to describe the transition between two variants of the same virus, through the combination of a series of realistic mechanisms such as partial cross immunity, waning immunity for vaccinated individuals and a novel data-based algorithm to describe the average immunological status of the population. The model is validated on the evolution of Covid-19 in Italy, during the period in which the transition between Delta and Omicron variant occurred, with very satisfactory agreement with the experimental data. According to our model, if the vaccine efficacy had been equal against Delta and Omicron variant infections, the transition would have been smoothed and the epidemic would have gone extinct. This circumstance confirms the fundamental role of vaccines in combating the epidemic, and the importance of identifying vaccines capable of intercepting new variants.

Funder

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference62 articles.

1. COVID-19 pandemic: mechanism, diagnosis, and treatment;V Kumar;Chem Technol Biotechnol,2021

2. Clinical Characterization and Genomic Analysis of Samples from COVID-19 Breakthrough Infections during the Second Wave among the Various States of India;N Gupta;Viruses,2021

3. A scoping review of the pathophysiology of COVID-19;PE Marik;International Journal of Immunopathology and Pharmacology,2021

4. COVID-19: A state of art on immunological responses, mutations, and treatment modalities in riposte;X Gong;Journal of Infection and Public Health,2023

5. Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19 disease;T Struyf;Cochrane Database of Systematic Reviews,2020

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